Genetic Variability Study for Yield and Associate Characters in Early Maturing Sugarcane

Abstract Okra yields are low in West and Central Africa and factors including narrow genetic base of available germplasm have been implicated. An assessment of genetic variability among germplasm from various sources and knowledge of trait contributions to these variations is crucial to the success of okra breeding program. Eighteen okra accessions were evaluated during the 2020 cropping season in Nigeria to assess the genotypes for genetic diversity, group the accessions into clusters and identify traits that chiefly accounted for the variations among the genotypes. Data obtained were subjected to analysis of variance (ANOVA), metroglyph and principal component analyses (PCA). ANOVA revealed significant accession mean squares for majority of the measured traits. Metroglyph analysis grouped the accessions into four clusters with members of Cluster IV generally high-yielding, early-maturing and short genotypes. NGB00353 and NGB00356 that were among genotypes with high total index scores were members of Cluster IV. The first four principal components (PCs) accounted for 80% of the total observed variation. PC1 with the highest discriminatory power was loaded with days to budding, internode length, pod yield.plot−1 and the number of pods.plant−1. The variation within and between clusters could be explored in okra breeding program.

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Assessment of genetic variation in Linum L. using SPAR markers

Biologija ◽

10.6001/biologija.v63i1.3474 ◽

2017 ◽

Vol 63 (1) ◽

Cited By ~ 1

Author(s):

Zahra Noormohammadi ◽

Mina Sakhaee ◽

Masoud Sheidai ◽

Seyed Mehdi Talebi

Keyword(s):

Molecular Markers ◽

Genetic Variability ◽

Linum Usitatissimum ◽

Genetic Erosion ◽

Network Analyses ◽

Low Degree ◽

Breeding Programmes ◽

Variability Study ◽

Single Primer ◽

Amplification Reaction

Flax (Linum usitatissimum subsp. usitatissimum) is an important crop plant cultivated both for its fiber and seed oil content. Uniform cultivation and selection practice may lead to genetic erosion and reduced genetic variability of Linum cultivars, which in turn makes the crop vulnerable to diseases and pathogens. Therefore we performed a genetic diversity analysis of few populations including both Linum usitatissimum subsp. usitatissimum L. and L. Bienne L. We used a combination of single primer amplification reaction markers, including RAPD, ISSR, and RAMPO molecular markers for genetic variability study. In general, all three molecular markers revealed a low degree of genetic variability in the materials studied; however, L. bienne had a higher level of genetic variability. Clustering and network analyses grouped the studied plants inter-mixed and did not separate the studied species or populations. STRUCTURE plot and K-Means clustering also identified these populations as genetically homogenous. These results indicate the need for introducing new linseed cultivars into the country for future hybridization and breeding programmes.

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